Title
Distributed Virtual Network Embedding System With Historical Archives and Set-Based Particle Swarm Optimization
Abstract
Virtual network embedding (VNE) is an important problem in network virtualization for the flexible sharing of network resources. While most existing studies focus on centralized embedding for VNE, distributed embedding is considered more scalable and suitable for large-scale scenarios, but how virtual resources can be mapped to substrate resources effectively and efficiently remains a challenging issue. In this paper, we devise a distributed VNE system with historical archives (HAs) and metaheuristic approaches. First, we introduce metaheuristic approaches to each delegation of the distributed embedding system as the optimizer for VNE. Compared to the heuristic-based greedy algorithms used in existing distributed embedding approaches, which are prone to be trapped in local optima, metaheuristic approaches can provide better embedding performance for these distributed delegations. Second, an archive-based strategy is also introduced in the distributed embedding system to assist the metaheuristic algorithms. The archives are used to record the up-to-date information of frequently repeated tasks. By utilizing such archives as historical memory, metaheuristic algorithms can further improve embedding performance for frequently repeated tasks. Following this idea, we incorporate the set-based particle swarm optimization (PSO) as the optimizer and propose the distributed VNE system with HAs and set-based PSO (HA-VNE-PSO) system to solve the VNE problem in a distributed way. HA-VNE-PSO is empirically validated in scenarios of different scales. The experimental results verify that HA-VNE-PSO can scale well with respect to substrate networks, and the HA strategy is indeed effective in different scenarios.
Year
DOI
Venue
2021
10.1109/TSMC.2018.2884523
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Distributed systems,metaheuristic,particle swarm optimization (PSO),virtual network embedding (VNE)
Journal
51
Issue
ISSN
Citations 
2
2168-2216
5
PageRank 
References 
Authors
0.41
21
6
Name
Order
Citations
PageRank
An Song1121.51
Wei-Neng Chen214313.16
Tianlong Gu347146.73
Huaqiang Yuan410711.47
Sam Kwong54590315.78
Jun Zhang62491127.27